Bibliographic record
Abstract
Solvay will work with Iberdrola to build a solar farm to power its chemical plants in Tavaux and Saint-Fons, France. Solvay says the facility will include around 100,000 photovoltaic modules and be one of the largest such installations in Europe. Arkema is boosting the size of its Pebax elastomer expansion in Serquigny, France, from 25% to 40%, because of strong demand. The company will have some of the capacity on line during the first quarter of 2023 and the rest in the third quarter. General Motors is investing in the battery recycling company Lithion Recycling. The companies will work together to ensure that Lithion’s materials can be used to make batteries and that GM’s batteries are easily recycled. Calyxt , a company that genetically engineers plants to make chemicals, is considering strategic alternatives such as selling its assets, licensing technology, or merging. Calyxt’s market capitalization has fallen by about 87%
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.721 | 0.748 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".